Director AI-Driven Applications

Role Overview S&P Global Market Intelligence is hiring a Director of AI-Driven Applications to lead its enterprise AI vision within the Energy division. This is a senior strategic and hands-on technical leadership role focused on building intelligent, AI-native enterprise systems at scale. You will translate complex business challenges into production-grade AI solutions leveraging the latest advances in agentic AI, large language models, and enterprise data architecture. Key Responsibilities - Define the enterprise AI application strategy, roadmap, and governance frameworks aligned with organisational business objectives - Lead the design and delivery of production AI applications using LLMs, multi-agent systems, retrieval-augmented generation, and fine-tuning pipelines - Architect end-to-end agentic AI workflows covering autonomous planning, tool use, memory management, and multi-agent orchestration - Evaluate and select appropriate AI frameworks such as LangChain, LlamaIndex, AutoGen, and CrewAI based on enterprise scale and security requirements - Design and govern enterprise data models supporting AI feature engineering, vector embedding stores, knowledge graphs, and real-time inference pipelines - Define ontologies, taxonomies, and semantic layers enabling AI systems to reason over structured and unstructured enterprise data - Own and evolve the enterprise architecture for AI integration across cloud, hybrid, and on-premise environments - Drive architecture decisions across the full AI stack including model serving, API gateways, orchestration layers, observability, and security - Build, mentor, and lead high-performing teams of AI engineers, data architects, and solution architects - Partner with C-suite leaders and product heads to identify and prioritise AI opportunities across business units - Champion responsible AI principles including explainability, bias mitigation, auditability, and data privacy - Establish architecture review boards, design patterns, and reusable accelerators to scale AI delivery Required Qualifications - 12 or more years of progressive experience in software, data, or AI architecture with at least 5 years in a leadership role - Proven track record of delivering enterprise-scale AI or ML applications in production environments - Deep expertise in at least two major cloud platforms among AWS, Azure, and GCP along with their associated AI and ML services - Strong background in data modelling and data platform design covering relational, NoSQL, graph, and vector databases - Demonstrated experience architecting agentic AI solutions using LLMs and orchestration frameworks - Excellent stakeholder communication skills with ability to translate technical concepts for executive audiences - Experience in regulated industries such as financial services, healthcare, or government with AI governance requirements is preferred - Certifications such as AWS Solutions Architect Professional or Google Cloud Professional Data Engineer are an added advantage - Familiarity with enterprise architecture frameworks like TOGAF or Zachman is preferred Why Join Us S&P Global Market Intelligence offers you the opportunity to shape the future of AI at one of the world's most respected data and analytics companies. You will work on sector-specific, data-rich solutions that create meaningful impact across the global energy and financial services landscape.

- 12 or more years in software, data, or AI architecture with 5 or more years in leadership - Hands-on expertise in agentic AI design, LLMs, and multi-agent orchestration frameworks - Deep knowledge of cloud platforms including AWS, Azure, and GCP - Strong data modelling skills across relational, NoSQL, graph, and vector databases - Experience with AI frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI - Background in data lakes, lakehouses, streaming pipelines, and feature stores - Excellent executive-level stakeholder communication and presentation skills - Experience in regulated industries with AI governance and data privacy requirements - Knowledge of enterprise architecture frameworks such as TOGAF or Zachman is preferred

- Competitive compensation package - Full-time permanent employment - Opportunity to lead enterprise AI strategy at a global scale - Work with cutting-edge AI and data technologies - Collaborative and innovation-driven work culture - Career growth and continuous learning opportunities